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About Artificial Intelligence and Machine Learning

The Department of CSE- Artificial Intelligence and Machine Learning has eminent faculty with a blend from Academics and industry. Faculty members are from varied specializations to impart their skill on latest technologies for B.Tech students. Department had MoUs with reputed MNCs such as IBM, CISCO, NASSCOM, Microsoft, Virtusa, Codetantra  etc to be in tune with industry developments and requirements.

 

Department plays a vital role in nurturing students with up-to-date knowledge in Artificial Intelligence and Machine Learning. Bridge courses conducted by the department provide opportunities for the students to strengthen the prerequisites required for various courses in the curriculum. It shows keen interest in offering short term/add-on courses apart from the courses in the curriculum, for uplifting the students to meet the growing needs of the industry. Workshops, Bootcamps,  and hand on sessions are conducted on a regular basis, to put on practice, the theoretical concepts learned in the classrooms. The department frequently conducts seminars and invited talks with the support of experienced resource persons from the industry.

 

Speed is the motto, time is the constraint and AI&ML is the entity of the era.

Department Vision:

To be recognized as a pioneering department in Artificial Intelligence and Machine Learning by nurturing creative, ethical, and industry-ready professionals capable of developing innovative, sustainable, and socially responsible AI solutions.

 

Department Mission:

  • To impart strong theoretical foundations and advanced technical skills in Artificial Intelligence and Machine Learning through an outcome-based, industry-aligned curriculum.

  • To foster innovation, critical thinking, and research culture through interdisciplinary projects and active collaboration with industry and research organizations.

  • To cultivate an entrepreneurial mindset that transforms creative ideas into sustainable product based solutions to solve global challenges.

  • To nurture ethical, responsible AI professionals committed to sustainability and societal well-being at national and global levels.

PEOs, POs & PSOs

Program Educational Objectives (PEOs)
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PEO 1: Graduates will establish themselves as competent AI and ML professionals or pursue higher studies by applying strong theoretical foundations and advanced technical skills to solve real-world problems.

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PEO 2: Graduates will demonstrate innovation, critical thinking, and teamwork in developing AI solutions, contributing effectively to interdisciplinary projects, research, and leadership roles in industry and academia.

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PEO 3: Graduates will develop an entrepreneurial mindset, enabling them to identify opportunities, create innovative AI-driven solutions, and establish or contribute to technology-driven startups and ventures that foster economic and societal growth.

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PEO 4: Graduates will practice ethical, responsible, and sustainable use of AI technologies, contributing to societal well-being and national and global development.​

Program Outcomes (POs):
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PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.

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PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)

 

PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

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PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.(WK8).

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PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

 

PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).

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PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; adhere to national & international laws. (WK9)

 

PO8: Individual and Collaborative Teamwork: Function effectively as an individual and as a member or leader in diverse/multi-disciplinary teams.

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PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation and make effective presentations considering cultural, language, and learning differences.

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PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
 

PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for 

  1. independent and life-long learning

  2. adaptability to new and emerging technologies and

  3. critical thinking in the broadest context of technological change. (WK8)

Program Specific Outcome (PSOs):
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PSO 1 – AI/ML Problem-Solving Competency

Graduates will be able to design, develop, and implement Artificial Intelligence and Machine Learning models using appropriate algorithms, tools, and technologies to solve real-world problems across diverse domains.

 

PSO 2 – Intelligent Systems Development & Deployment

Graduates will be able to build end-to-end intelligent systems by integrating data engineering, model optimization, cloud platforms, and deployment frameworks, ensuring scalability, reliability, and performance.

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PSO 3 – Ethical, Innovative & Entrepreneurial AI Practice

Graduates will develop sustainable AI solutions, participate in interdisciplinary projects, and spearhead technology-based businesses that promote social and economic advancement by applying ethical values, creative thinking, and an entrepreneurial attitude.

Unique

Focus Areas:

  • Deep Neural Networks

  • Reinforcement Learning

  • Chat bots, Virtual Assistants

  • Speech Technologies

  • Computer Vision

  • Natural Language Processing

  • Robotic Applications

  • Data Science & Big Data

 

Innovative Pedagogies:

  • On-demand video lecture streaming

  • Cloud based tools for online teaching.

  • Discussion forums for doubts clarification

  • Course projects towards realizable prototypes.

 

Skill Development:

  • Coding skills: Programming skills in C, Java, Python (Tensorflow, Keras), OpenCV etc.

  • Hardware skills: Ardunio, Raspberry Pi Boards.

  • Soft skills: Hobby clubs

 

Internships & Placements:

  • Internships in industries

  • Entrepreneurship cell

AIML

Artificial Intelligence and Machine Learning

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